地震反演与属性耦合检测薄层含气砂岩

详细信息 本馆镜像全文    |  推荐本文 | | 获取馆网全文

英文篇名：Seismic inversion and detection of thin-layer gas-bearing sandstone by attributes coupling 中文刊名：石油地球物理勘探 英文刊名：Oil Geophysical Prospecting 作者：黄捍东 ; 张如伟 ; 赵迪 ; 陈丽华 英文作者：Huang Han-dong1 ; 2 ; Zhang Ru-wei1 ; 2 ; Zhao Di1 ; 2 and Chen Li-hua3.1.State Key Lab of Oil Resource and Survey ; China University of Petroleum(Beijing) ; Beijing City ; 102249 ; China2.Beijing Key Lab of Earth Survey and Information Technology ; Beijing City ; 102249 ; China3.Institute of Marine Facies ; Research Institute of Exploration and Development ; SINOPEC Jianghan Oilfield Branch ; Qianjiang City ; Hubei Province ; 433124 ; China 中文关键词：地震反演 ; 地震属性 ; 含气性检测 ; RS理论 ; 神经网络 英文关键词：seismic inversion ; seismic attributes ; gas-bearing detection ; RS theory ; neural network 出版日期：2009-04-15 机构：油气资源与探测国家重点实验室(中国石油大学);地球探测与信息技术北京市重点实验室;中石化江汉油田分公司勘探开发研究院海相所; 年：2009 期：02 出版单位：石油地球物理勘探

摘要

地震资料气层检测的常用方法是沿目的层拾取选定时窗内的地震属性进行属性分析,但该方法用于薄层砂岩储层的油气检测则比较困难。为此,本文利用非线性随机反演方法精细刻画砂体的空间展布,得到储层顶、底层位信息;再沿层提取各种地震属性,时窗随储层厚薄变化;分别应用基于RS理论的属性优化方法和SOM神经网络模式识别方法进行气层检测。将该方法应用于川西拗陷洛带气田,符合率达85%以上。
Common-used method for gas reservoir detection by using seismic data is to pick up seismic attributes in fixed windows along the objective horizons and carry out attributes analysis,in which the oil/gas detection for thin-layer sandstone reservoir is more difficult.For that reason,the paper uses nonlinear random inversion method to finely describe the spatial distribution of sand body,getting the information of top and bottom horizons in reservoir;then picks up various seismic attributes along the horizons and windows change with the thickness variation of reservoir;and finally carries out gas-bearing formation detection by using RS theory-based attribute optimized method and SOM neural network mode recognition method respectively.The method was used in Luodai gasfield of Chuanxi depression,resulting in 85% and above of matched rate.

引文

[1]于建国.地震属性优化在储层预测中的应用.石油与天然气地质,2003,24(3):291～295
    [2]倪逸,杨慧珠,郭玲萱,王倩,张冲.储层油气预测中地震属性优选问题探讨.石油地球物理勘探,1997,34(6):614～626
    [3]陈遵德.储层地震属性优化方法.北京:石油工业出版社,1998
    [4]陈遵德,陈富贵.地震数据油气预测中的属性优化方法.石油物探,1998,37(4):32～40
    [5]黄捍东,罗群,付艳,王保华.地震相控非线性随机反演研究与应用.石油地球物理勘探,2007,42(6):694～698
    [6]Kalkomey C T.Potential risks when using seismic at-tributes as predictors of reservoir properties.The Leading Edge,1997,16(3):247～251
    [7]Pawlak Z.Rough Set,Theoretical aspacts of reasoning about data.Kluwer Academic Pub,1991